Aligned to the Bank’s Data & Analytics ambitions, Santander’s Data Centre of Excellence (CoE) consists of a variety of different subject areas, initiatives and challenges, ranging from ensuring that our data is protected and under control, to ensuring we are adhering to regulatory expectations, along with creating and developing innovative solutions to help manage our data. We believe in building a caring, collaborative, transparent and datadriven culture to help us succeed towards a better future.
Joining the Data CoE, you’ll be part of a team where anyone and everyone can grow, learn, and be part of a Bank-wide Data Transformation targeted towards making a real difference across our core ambitions:
Data Management, Products & Strategy
Embedding data ownership across Santander UK, focusing on delivering pragmatic data management solutions to solve for a range of business insight, productivity, and regulatory use cases.
Data Portfolio & Programme Management
Driving change and transformation across the Data Centre of Excellence through providing portfolio level oversight, implementing reporting and governance standards & best practices, and delivering change across the strategic pillars.
Data Privacy & Information Lifecycle Management
Building bank-wide Privacy and ILM related capabilities. Providing subject matter expertise to enable the Bank to manage information from creation to destruction. Doing so in a way that helps build trust in how we handle personal data, reduces privacy risk, and encourages operational efficiencies.
Data Controls & Governance
Design, implementation, and ongoing governance of Data related controls to address the risk that our strategic objectives, important business services or regulatory obligations are negatively impacted by poor management of data.
Data Quality & Controls
A team of subject matter experts supporting data quality management, control execution at customer, account and product level, derived data control services and master data management.
Financial Crime Data & Models
Designs the optimum data model and architecture, engineers the data provision and APIs, controls the data flows, calibrates Financial Crime data models, provides MI and analytics and works with the business data owners to ensure continuous improvements to data quality.
Digital Data & Intelligence
To implement a Cloud Data Framework and Platform to enable the end-to-end transition to the cloud which will contribute to the acceleration of the digital transformation towards the bank’s strategy: Growing customer loyalty, simplifying and digitizing the business, embedding sustainability across the business and ensuring the right skills and knowledge are in place.
Data Engineering & DevOps
Responsible for the creation and maintenance of reusable data products, that facilitate the organisations use of data. The team use a number of tools and techniques to make this possible and explore future data technology.
Data Science & Machine Learning
Lead the Data Science strategy and manage and develop the Bank’s Data Science & analytics platforms.
Data Architecture, Solutions & Design
Aligning all transformation and change to the banks Data Strategy and Architecture, enabling the progression to a modern technology platform. Centred around data, technology, and ways of working, we challenge, guide and support initiatives with their choices, providing quality assurance through governance.